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Mathematical Modelling of Neurovascular function: Developing and refining brain tissue models to enable world leading research into neurovascular coupling in health and disease School of Psychology
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degree in a relevant discipline (Robotics, Electrical/Electronic Engineering, Computer Science, Mechanical Engineering, or related fields). - Strong mathematical background and good programming skills
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has a strong global reputation. Candidate Requirements Minimum 2.1 undergraduate honours degree or Master’s degree with Merit in a relevant discipline (such as Computer Science, Mathematics or others
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(s) assessed at Bachelor’s or master’s degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related area (or equivalent experience). Essential Application Ability to work
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apply. Criteria Essential or desirable Stage(s) assessed at Five GCSEs at Grade C or above including Mathematics and English (or equivalent experience) Essential Application Prior experience
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are looking for an ambitious candidate with a strong background in mathematical and statistical methods for both physics-based modelling and machine learning, and their application to engineering problems in
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ridged sail cascades. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. This project is available only for Self
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Data Driven Modelling, Machine Learning, Applied Mathematics/ Statistics, or related engineering and computing fields (or have equivalent experience) Essential Application Strong background in data
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Application/interview Ability to manage and evaluate scientific, mathematical or other technical data/documentation and call attention to any anomaly Essential Application/interview Be able to communicate
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by the physical system. You should have a strong background in theoretical physics, mathematical optimization theory, or quantum error correction, and have completed or be in the final stages of a PhD